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What is the future of email deliverability and how will AI impact spam filtering?

Summary

The future of email deliverability is increasingly intertwined with the advancement of artificial intelligence (AI) and machine learning (ML) in spam filtering. As AI systems become more sophisticated, they are reshaping how emails are evaluated, delivered, and perceived by recipients. This evolution demands that email senders adapt their strategies to align with these intelligent filters, focusing on user engagement, content relevance, and technical compliance to ensure their messages reach the inbox.

What email marketers say

Email marketers are keenly aware of the growing influence of AI on email deliverability, often viewing the present challenges as a preview of the future. Their perspectives highlight the need for more intelligent campaign strategies that anticipate user behavior and adapt to the increasingly sophisticated methods of spam detection. Many marketers emphasize the importance of relevance, consent, and avoiding tactics that resemble spam, particularly in cold outreach.

Marketer view

Email marketer from Email Geeks indicates that clients are asking about the "Future of Deliverability," but often the "future" is simply understanding the present state of AI in filters better. The challenge lies in addressing those who are still operating on outdated deliverability knowledge.

04 Jun 2020 - Email Geeks

Marketer view

Marketer from Email Geeks predicts that neural networks will achieve 99.9% accuracy in predicting user interaction with emails even before they are sent. This level of predictive power is expected to arrive in the near future, profoundly changing email strategies.

04 Jun 2020 - Email Geeks

What the experts say

Experts in email deliverability recognize that AI's growing role isn't just about technical filtering; it's also about a shift towards greater transparency in how filtering decisions are made. They foresee a future where compliance and proper authentication become even more critical, as AI systems become adept at identifying subtle patterns of unwanted mail and evasive tactics. The consensus is that foundational elements of email, like DNS records, will remain paramount.

Expert view

Expert from Email Geeks believes that the future of deliverability will involve AI learning enough to ensure that only the mail the user truly wants is delivered to their inbox. This implies a highly personalized and effective filtering mechanism.

06 Jun 2020 - Email Geeks

Expert view

Expert from Email Geeks states that the email newsletter will continue its comeback. It's viewed as the perfect content marketing medium and potentially the last bastion of the free internet, indicating its enduring relevance despite filtering changes.

06 Jun 2020 - Email Geeks

What the documentation says

Official documentation and research on email security and deliverability increasingly point to AI as a core component of modern spam filtering. These sources describe how AI and machine learning algorithms are trained on vast datasets to identify and block new threats in real-time, improving classification accuracy and bolstering overall email security. The emphasis is on continuous learning and adaptation to counter the ever-evolving tactics of malicious senders.

Technical article

Documentation from SendLayer states that AI spam filters are capable of learning and adapting to new threats in real-time, moving beyond simplistic keyword detection. This ensures more robust protection against evolving spam techniques.

05 Aug 2024 - SendLayer

Technical article

Documentation from Mailmodo highlights that AI algorithms allow for advanced filtering of emails, with the spam filtering system continuously improving by learning from vast data sets daily. This continuous learning enhances accuracy.

10 Jun 2023 - Mailmodo

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